Evidence map›Paper›PMID 41927672›Full record

ArticleScientific reports2026

Bilibili and TikTok as sources of information on atrophic gastritis and the quality of their content.

Jingwen Qin, Zhaokai Zhang, Yongjun Qin

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jingwen QinDepartment of Gastroenterology, The People's Hospital of Cenxi City, Wuzhou, 543200, Guangxi, China.
Zhaokai ZhangDepartment of Gastrointestinal and Hepatobiliary Surgery, The People's Hospital of Cenxi City, Wuzhou, 543200, Guangxi, China.
Yongjun QinDepartment of Gastroenterology, The People's Hospital of Cenxi City, Wuzhou, 543200, Guangxi, China. qinyj630@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short video platforms have emerged as a prominent source of health information, including content related to chronic atrophic gastritis (AG). However, the quality and reliability of AG-related content on these platforms have not been systematically assessed. We selected 100 AG-related videos from each of Bilibili and TikTok, collecting data on video characteristics, including uploader information, engagement metrics, and content. The Global Quality Score (GQS), modified DISCERN score (mDISCERN), and JAMA score were used to evaluate the videos. Statistical analyses were conducted to assess differences in quality across platforms, video sources, and video content. Despite a shorter median duration (97.50 s), TikTok videos achieved higher user engagement and statistically higher quality scores (p < 0.01) compared to Bilibili. Treatment was the most frequent topic on both platforms (80.0%). Although Traditional Chinese Medicine (TCM) physicians constituted the largest uploader group (57.5%), gastroenterologists produced content with the highest quality scores (median GQS: 4.00; mDISCERN: 4.00; JAMA: 3.00) and significantly greater engagement (p < 0.01). TikTok exhibited relatively higher user engagement and higher quality scores, though both platforms showed moderate overall quality and considerable potential for enhancement. To foster the spread of credible health information, we recommend strengthening content moderation, amplifying the visibility of authoritative medical creators, and enhancing public health literacy.

Indexed as

Gastritis, AtrophicVideo RecordingDigital MediaHumansMedicine, Chinese TraditionalAtrophic gastritisBilibiliOnline videoPublic healthQualityTikTok

Identifiers

PMID41927672
PMCPMC13194659

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.